AI thermal tech sets sights on maritime, heavy industries with $2.6M funding boost

TechnologyStartup
27 May 2026 • 12:01 AM MYT
The Manila Times
The Manila Times

One of the longest-running English broadsheets in the Philippines

AI thermal tech sets sights on maritime, heavy industries with $2.6M funding boost

AS global heavy industries and shipping lines navigate an era of tightening insurance markets and escalating operational hazards, industrial artificial intelligence startup Avian announced Wednesday a $2.6 million pre-seed funding round to scale its 24/7 thermal monitoring platform across high-risk sectors.

The investment, led by Swiss pre-seed fund Founderful, will accelerate the deployment of Avian’s end-to-end predictive safety platform. The expansion targets maritime operations, recycling, mining, chemical processing, and oil and gas — sectors where fire and downtime risks are increasingly outstripping what commercial insurers are willing to underwrite.

For decades, industrial and marine risk has been priced using actuarial tables and historical claims data. However, fine dust, friction, electrical faults, and aging equipment have pushed many modern facilities and vessels into territory deemed uninsurable at viable premiums.

"Most operators don't need another camera," said Drew Hanover, co-founder and chief technology officer of Avian. "At 3 a.m. in a manufacturing plant, or out at sea in a ship's engine room, they need to know that a bearing is running hot before it ignites the dust or fuel around it."

The legacy approach to thermal safety relies on periodic thermography — typically a technician walking a facility floor or a vessel's machinery spaces with a handheld infrared camera once a quarter. Industry experts note this method frequently misses the critical window when a component begins to fail.

Avian’s platform functions as an always-on reliability layer. Its specialized thermal cameras continuously monitor high-risk ignition points like motors, bearings, conveyors, and electrical cabinets to map normal operational baselines. The AI models isolate "drift" — subtle, early heat patterns that precede mechanical failure — while filtering out routine heat sources to prevent alarm fatigue among crews.

The business model has already demonstrated commercial viability, operating profitably as a bootstrapped entity for two years prior to the capital injection. To date, the company's technology has been deployed at roughly 50 sites across nine countries, preventing an estimated $50 million in damages from fires and equipment breakdowns.

Commercial results underscore the financial return on investment for operators facing mounting insurance pressures. In the United States, Kamps Pallet secured a 10-percent reduction in annual insurance costs at its Dillwyn sawmill following deployment. Meanwhile, operators like Sierra Pacific Industries and Switzerland-based Schilliger Holz have utilized the system to avert active fires and minimize unscheduled production stops.

"Avian has developed a solution to a problem which probably affects everyone in the industry directly," said Ernest Schilliger, chief executive of Schilliger Holz. "You will never be able to reduce the risk of fires to zero, but you can do everything you can to minimize the danger."

Looking forward, the company plans to leverage its growing fleet of sensors to provide underwriters with live, site-level thermal telemetry to help high-risk operations secure coverage. Additionally, the startup is developing "Avian Vision," a software layer designed to upgrade existing closed-circuit television (CCTV) infrastructure to detect smoke and fire, expanding facility-wide protection without requiring operators to overhaul legacy surveillance systems.

Alex Stöckl, a partner at Founderful, indicated the decision to back the company was driven by its immediate operational impact. "Within a year of incorporation, the team already served dozens of manufacturing businesses in the US and Europe, preventing real fire incidents on a daily basis," Stöckl said.

Avian, a 10-person team based in Zurich, is currently on track to surpass $1 million in annual recurring revenue this year. CARMELA HUELAR